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| Knowledge Discovery and Development Path Identification Based on Time-Expanded Network: Information Management Area as an Example |
| Wang Zongshui1,2, Liu Haiyan3, Liu Wei4, Zhao Hong4, Zhang Jian1 |
1.School of Economics and Management, Beijing Information Science and Technology University, Beijing 100192
2.School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100190
3.Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190
4.School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190 |
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Abstract Text mining and network analysis have become important tools for knowledge discovery. This study proposes a method based on time-expended network considering prior related research. First, through stage division and keyword time-expanded network construction, this study assigns arcs value and carries out calculation of node-arcs matrix to detect the shortest paths. Next, it ranks the relative importance of keywords based on the closeness centrality and discovers the main knowledge development paths by matching the nodes of shortest paths within time-expanded network. In addition, it takes 43,624 articles of 24 journals in the information management field from 1979 to 2018 as samples to check the fitness of this method. The development period is divided into four equal slices with 10 years, which is followed by extraction and statistical analysis of the keywords by CiteSpace software. The knowledge evolution paths are found based on the time-expanded network and nodes’ closeness centrality. The results show that the knowledge development of information management research mainly includes five main paths, such as management, information system, innovation, design, and implementation; these paths connect with each other through technology, model and method, diffusion and knowledge, etc. which formed the knowledge network of information management research.
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Received: 21 June 2019
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